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Unlock the power of deep learning and embark on a journey into the world of artificial intelligence with our comprehensive course, "Deep Learning Basics for Beginners." Whether you are a newcomer to the field or looking to reinforce your foundational knowledge, this course has you covered.

Course Highlights:

  • 400+ meticulously crafted Questions to test your understanding at every step.

  • Dive deep into the concepts with scenario-based questions that simulate real-world challenges.

  • Detailed explanations for each question, ensuring clarity and enhancing your learning experience.

  • Cover a wide range of topics, from neural networks and convolutional networks to recurrent networks and more.

  • Develop a strong foundation in AI & deep learning, laying the groundwork for further exploration in the field.

Course Topic Covered:

  1. Introduction to Deep Learning

  2. Neural Networks and Artificial Neurons

  3. Activation Functions

  4. Forward Propagation

  5. Backpropagation and Training Neural Networks

  6. Loss Functions

  7. Optimization Algorithms

  8. Regularization Techniques

  9. Overfitting and Underfitting

  10. Hyperparameter Tuning

  11. Convolutional Neural Networks (CNNs)

  12. Image Classification

  13. Recurrent Neural Networks (RNNs)

  14. Long Short-Term Memory (LSTM) Networks

  15. Sequence-to-Sequence Models

  16. Natural Language Processing (NLP) with Deep Learning

  17. Speech Recognition

  18. Reinforcement Learning with Deep Q-Networks (DQN)

  19. Transfer Learning and Pretrained Models

  20. Ethical Considerations in Deep Learning


Sample Conceptual Question:

  1. What is the primary objective of deep learning?

    A) To design complex algorithms

    B) To mimic human intelligence through artificial neural networks

    C) To process data using shallow networks

    D) To replace traditional machine learning techniques

    Correct Response: B (Explanation: Deep learning aims to mimic human intelligence by using artificial neural networks with multiple layers for data processing.)


  2. Sample Scenario Question:

    You are tasked with building an image recognition system for a self-driving car. Which type of neural network architecture is most suitable for this scenario?

    A) Recurrent Neural Network (RNN)

    B) Long Short-Term Memory (LSTM)

    C) Convolutional Neural Network (CNN)

    D) Multi-layer Perceptron (MLP)

    Correct Response: C (Explanation: Convolutional Neural Networks (CNNs) are well-suited for image recognition tasks due to their ability to capture spatial patterns in images.)

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Unlock the power of deep learning and embark on a journey into the world of artificial intelligence with our comprehensive course, "Deep Learning Basics for Beginners." Whether you are a newcomer to the field or looking to reinforce your foundational knowledge, this course has you covered.

Course Highlights:

  • 400+ meticulously crafted Questions to test your understanding at every step.

  • Dive deep into the concepts with scenario-based questions that simulate real-world challenges.

  • Detailed explanations for each question, ensuring clarity and enhancing your learning experience.

  • Cover a wide range of topics, from neural networks and convolutional networks to recurrent networks and more.

  • Develop a strong foundation in AI & deep learning, laying the groundwork for further exploration in the field.

Course Topic Covered:

  1. Introduction to Deep Learning

  2. Neural Networks and Artificial Neurons

  3. Activation Functions

  4. Forward Propagation

  5. Backpropagation and Training Neural Networks

  6. Loss Functions

  7. Optimization Algorithms

  8. Regularization Techniques

  9. Overfitting and Underfitting

  10. Hyperparameter Tuning

  11. Convolutional Neural Networks (CNNs)

  12. Image Classification

  13. Recurrent Neural Networks (RNNs)

  14. Long Short-Term Memory (LSTM) Networks

  15. Sequence-to-Sequence Models

  16. Natural Language Processing (NLP) with Deep Learning

  17. Speech Recognition

  18. Reinforcement Learning with Deep Q-Networks (DQN)

  19. Transfer Learning and Pretrained Models

  20. Ethical Considerations in Deep Learning


Sample Conceptual Question:

  1. What is the primary objective of deep learning?

    A) To design complex algorithms

    B) To mimic human intelligence through artificial neural networks

    C) To process data using shallow networks

    D) To replace traditional machine learning techniques

    Correct Response: B (Explanation: Deep learning aims to mimic human intelligence by using artificial neural networks with multiple layers for data processing.)


  2. Sample Scenario Question:

    You are tasked with building an image recognition system for a self-driving car. Which type of neural network architecture is most suitable for this scenario?

    A) Recurrent Neural Network (RNN)

    B) Long Short-Term Memory (LSTM)

    C) Convolutional Neural Network (CNN)

    D) Multi-layer Perceptron (MLP)

    Correct Response: C (Explanation: Convolutional Neural Networks (CNNs) are well-suited for image recognition tasks due to their ability to capture spatial patterns in images.)

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Are you passionate about Artificial Intelligence and Natural Language Processing?

Do you want to pursue a career as a data scientist or as an AI engineer?

If that’s the case, then this is the perfect course for you!

In this Intro to Natural Language Processing in Python course you will explore essential topics for working with text data. Whether you want to create custom text classifiers, analyze sentiment, or explore concealed topics, you’ll learn how NLP works and obtain the tools and concepts necessary to tackle these challenges.

Natural language processing is an exciting and rapidly evolving field that fundamentally impacts how we interact with technology. In this course, you’ll learn to unlock the power of natural language processing and will be equipped with the knowledge and skills to start working on your own NLP projects.

The training offers you access to high quality Full HD videos and practical coding exercises. This is a format that facilitates easy comprehension and interactive learning. One of the biggest advantages of all trainings produced by 365 Data Science is their structure. This course makes no exception. The well-organized curriculum ensures you will have an amazing experience.

You won’t need prior natural language processing training to get started—just basic Python skills and familiarity with machine learning.

This introduction to NLP guides you step-by-step through the entire process of completing a project. We’ll cover models and analysis and the fundamentals, such as processing and cleaning text data and how to get data in the correct format for NLP with machine learning.

We'll utilize algorithms like Latent Dirichlet Allocation, Transformer models, Logistic Regression, Naive Bayes, and Linear SVM, along with such techniques as part-of-speech (POS) tagging and Named Entity Recognition (NER).

You'll get the opportunity to apply your newly acquired skills through a comprehensive case study, where we'll guide you through the entire project, covering the following stages:

  • Text cleansing

  • In-depth content analysis

  • Sentiment analysis

  • Uncovering hidden themes

  • Ultimately crafting a customized text classification model

By completing the course, you’ll receive а verifiable NLP certificate and will add an excellent project to your portfolio to show off your ability to analyze text like a pro.

So, what are you waiting for?

Click Buy Now and start your AI journey today!

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Are you passionate about Artificial Intelligence and Natural Language Processing?

Do you want to pursue a career as a data scientist or as an AI engineer?

If that’s the case, then this is the perfect course for you!

In this Intro to Natural Language Processing in Python course you will explore essential topics for working with text data. Whether you want to create custom text classifiers, analyze sentiment, or explore concealed topics, you’ll learn how NLP works and obtain the tools and concepts necessary to tackle these challenges.

Natural language processing is an exciting and rapidly evolving field that fundamentally impacts how we interact with technology. In this course, you’ll learn to unlock the power of natural language processing and will be equipped with the knowledge and skills to start working on your own NLP projects.

The training offers you access to high quality Full HD videos and practical coding exercises. This is a format that facilitates easy comprehension and interactive learning. One of the biggest advantages of all trainings produced by 365 Data Science is their structure. This course makes no exception. The well-organized curriculum ensures you will have an amazing experience.

You won’t need prior natural language processing training to get started—just basic Python skills and familiarity with machine learning.

This introduction to NLP guides you step-by-step through the entire process of completing a project. We’ll cover models and analysis and the fundamentals, such as processing and cleaning text data and how to get data in the correct format for NLP with machine learning.

We'll utilize algorithms like Latent Dirichlet Allocation, Transformer models, Logistic Regression, Naive Bayes, and Linear SVM, along with such techniques as part-of-speech (POS) tagging and Named Entity Recognition (NER).

You'll get the opportunity to apply your newly acquired skills through a comprehensive case study, where we'll guide you through the entire project, covering the following stages:

  • Text cleansing

  • In-depth content analysis

  • Sentiment analysis

  • Uncovering hidden themes

  • Ultimately crafting a customized text classification model

By completing the course, you’ll receive а verifiable NLP certificate and will add an excellent project to your portfolio to show off your ability to analyze text like a pro.

So, what are you waiting for?

Click Buy Now and start your AI journey today!

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Welcome to AI Videos, DeepFake & Voice Cloning Business: Uncover and Scale Your Creative Power and your Business with Generative AI!

In this course, you'll dive deep into the fascinating world of artificial intelligence, text-to-speech, and DeepFakes.


You'll gain insights into cutting-edge AI technologies such as ChatGPT, Midjourney, Elevenlabs, Murf AI, Stable Diffusion, FaceSwap and WAV2LIP to unleash your creative potential, scale your business, and consequently, make more money.

Imagine creating stunning videos that defy all boundaries.


With this course, you'll acquire a wealth of innovative techniques to bring your creative visions to life:

Voice Cloning - Bring your thoughts to life. Learn how to mimic any desired voice and craft unforgettable narratives.

Video Voice-over Manipulation - Shape reality to your desires. Master the art of video voice-over editing to produce captivating content that enthralls your audience.

Entrepreneurial mindset - Scale your business through text-to-speech.

Stable Diffusion and face Swap - creat Videos, you dont know was possible

Midjourney: Make Unbelievable good AI-Pictures

D-ID: Animate your Mid-journey Pictures and Make AI-Avatars work for you

Elevenlabs, Murf AI, Meta, Google, Amazon - Create AI voices, clone your or other voices, turn audio into text and vice versa.


My course offers something for everyone, whether you're a beginner or an experienced professional.

You'll learn how to effectively use AI tools such as ElevenLabs, Murf AI, Voice to Lip, ChatGPT, and Midjourney and become part of a supportive community of like-minded individuals.


In "AI Voices & Deep Fakes", you will:

Master the techniques of voice cloning and employ AI tools like ChatGPT and Midjourney for stunning creations.

Learn how to optimally utilize text-to-speech technologies such as ElevenLabs, Murf, Facebook [Meta], and Amazon.

Discover how you can leverage text-to-speech to scale your business, saving both time and costs.

Unlock new revenue streams in the world of DeepFakes, be it as a filmmaker, content creator, voiceover artist, or social media influencer.

Get acquainted with the Wave 2 Lip technology.


"AI Voices & Deep Fakes" is perfect for creative minds, influencers, marketing professionals, and entrepreneurs who want to expand their creative horizon and tap into the transformative power of AI technology.


Seize this opportunity to harness the captivating power of text-to-speech and AI technologies like ChatGPT and Midjourney to bring your creative vision to life.


Sign up today for "AI Voices & Deep Fakes: Your Creative Booster" and master the realm of DeepFakes and Text-to-Speech!

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Welcome to AI Videos, DeepFake & Voice Cloning Business: Uncover and Scale Your Creative Power and your Business with Generative AI!

In this course, you'll dive deep into the fascinating world of artificial intelligence, text-to-speech, and DeepFakes.


You'll gain insights into cutting-edge AI technologies such as ChatGPT, Midjourney, Elevenlabs, Murf AI, Stable Diffusion, FaceSwap and WAV2LIP to unleash your creative potential, scale your business, and consequently, make more money.

Imagine creating stunning videos that defy all boundaries.


With this course, you'll acquire a wealth of innovative techniques to bring your creative visions to life:

Voice Cloning - Bring your thoughts to life. Learn how to mimic any desired voice and craft unforgettable narratives.

Video Voice-over Manipulation - Shape reality to your desires. Master the art of video voice-over editing to produce captivating content that enthralls your audience.

Entrepreneurial mindset - Scale your business through text-to-speech.

Stable Diffusion and face Swap - creat Videos, you dont know was possible

Midjourney: Make Unbelievable good AI-Pictures

D-ID: Animate your Mid-journey Pictures and Make AI-Avatars work for you

Elevenlabs, Murf AI, Meta, Google, Amazon - Create AI voices, clone your or other voices, turn audio into text and vice versa.


My course offers something for everyone, whether you're a beginner or an experienced professional.

You'll learn how to effectively use AI tools such as ElevenLabs, Murf AI, Voice to Lip, ChatGPT, and Midjourney and become part of a supportive community of like-minded individuals.


In "AI Voices & Deep Fakes", you will:

Master the techniques of voice cloning and employ AI tools like ChatGPT and Midjourney for stunning creations.

Learn how to optimally utilize text-to-speech technologies such as ElevenLabs, Murf, Facebook [Meta], and Amazon.

Discover how you can leverage text-to-speech to scale your business, saving both time and costs.

Unlock new revenue streams in the world of DeepFakes, be it as a filmmaker, content creator, voiceover artist, or social media influencer.

Get acquainted with the Wave 2 Lip technology.


"AI Voices & Deep Fakes" is perfect for creative minds, influencers, marketing professionals, and entrepreneurs who want to expand their creative horizon and tap into the transformative power of AI technology.


Seize this opportunity to harness the captivating power of text-to-speech and AI technologies like ChatGPT and Midjourney to bring your creative vision to life.


Sign up today for "AI Voices & Deep Fakes: Your Creative Booster" and master the realm of DeepFakes and Text-to-Speech!

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2022 年末に公開されて以来、「ChatGPT」は一般にも知られるキーワードとなり、非常に盛り上がっています。

ChatGPT が使っている GPT-3.5 や GPT-4 などのモデルは、「大規模言語モデル(LLM:Large Language Model)」と呼ばれます。

ChatGPT の API を使ったアプリケーションの開発も注目されており、多くの組織が取り組むようになっています。


ChatGPT の API など、LLM を使ったアプリケーションの例としてはチャットボットが定番です。

しかし、LLM が役立つ可能性があるのはチャットボットだけではなく、様々なアプリケーションへの応用が考えられます。

この講座では、単なるチャットボットではない LLM の応用例として、5 つのアプリケーションの実装に挑戦します。


コースで実装するのは、以下の 5 つのアプリケーションです。


  1. JSON 形式の文字列の生成(例:レシピ生成アプリ)

  2. テキストからの属性抽出(例:ブログ記事への自動タグ付け)

  3. 独自データの検索結果を踏まえた Q&A(例:PDF への Q&A)

  4. 自然言語から SQL を生成・実行

  5. AI エージェント(例:スケジュール管理の AI アシスタント)


Python で Web アプリを簡単に実装できる「Streamlit」を使い、これらのアプリケーションをできるだけシンプルに実装していきます。


■このコースで学ぶこと

  • このコースで学ぶのは、ChatGPT の API の「チャットボット以外の応用例」です

  • Streamlit を使い、簡易的に Web アプリケーションを実装していきます

  • LangChain や LlamaIndex といった有名なフレームワークにも少しふれます


■このコースで学ばないこと

  • チャットボットを実装する例

  • LangChain や LlamaIndex の使い方や仕組みの詳細

  • 本番システムを意識したシステムの構築や評価

  • LLM や機械学習自体の仕組み


このコースは、LLM のチャットボット以外の応用例を知り、受講者の方が自分なりのアイデアに繋げることを目標としています。


更新履歴

  • 2023/10/19:レクチャー「(追記)Zapier NLA の廃止について」を追加

  • 2023/10/30:レクチャー「(追記)init_sqlite の不備について」を追加

  • 2023/11/06:

    • セクション「【新】AI エージェント(例:スケジュール管理の AI アシスタント)」を追加

    • もとのセクション「AI エージェント(例:スケジュール管理の AI アシスタント)」を【旧】に変更

  • 2023/11/20:レクチャー「(追記)画像生成に使うモデルのアップデートについて」を追加

  • 2023/11/24:レクチャー「(追記)RateLimitError について」を追加

starstarstarstarstar_half

2022 年末に公開されて以来、「ChatGPT」は一般にも知られるキーワードとなり、非常に盛り上がっています。

ChatGPT が使っている GPT-3.5 や GPT-4 などのモデルは、「大規模言語モデル(LLM:Large Language Model)」と呼ばれます。

ChatGPT の API を使ったアプリケーションの開発も注目されており、多くの組織が取り組むようになっています。


ChatGPT の API など、LLM を使ったアプリケーションの例としてはチャットボットが定番です。

しかし、LLM が役立つ可能性があるのはチャットボットだけではなく、様々なアプリケーションへの応用が考えられます。

この講座では、単なるチャットボットではない LLM の応用例として、5 つのアプリケーションの実装に挑戦します。


コースで実装するのは、以下の 5 つのアプリケーションです。


  1. JSON 形式の文字列の生成(例:レシピ生成アプリ)

  2. テキストからの属性抽出(例:ブログ記事への自動タグ付け)

  3. 独自データの検索結果を踏まえた Q&A(例:PDF への Q&A)

  4. 自然言語から SQL を生成・実行

  5. AI エージェント(例:スケジュール管理の AI アシスタント)


Python で Web アプリを簡単に実装できる「Streamlit」を使い、これらのアプリケーションをできるだけシンプルに実装していきます。


■このコースで学ぶこと

  • このコースで学ぶのは、ChatGPT の API の「チャットボット以外の応用例」です

  • Streamlit を使い、簡易的に Web アプリケーションを実装していきます

  • LangChain や LlamaIndex といった有名なフレームワークにも少しふれます


■このコースで学ばないこと

  • チャットボットを実装する例

  • LangChain や LlamaIndex の使い方や仕組みの詳細

  • 本番システムを意識したシステムの構築や評価

  • LLM や機械学習自体の仕組み


このコースは、LLM のチャットボット以外の応用例を知り、受講者の方が自分なりのアイデアに繋げることを目標としています。


更新履歴

  • 2023/10/19:レクチャー「(追記)Zapier NLA の廃止について」を追加

  • 2023/10/30:レクチャー「(追記)init_sqlite の不備について」を追加

  • 2023/11/06:

    • セクション「【新】AI エージェント(例:スケジュール管理の AI アシスタント)」を追加

    • もとのセクション「AI エージェント(例:スケジュール管理の AI アシスタント)」を【旧】に変更

  • 2023/11/20:レクチャー「(追記)画像生成に使うモデルのアップデートについて」を追加

  • 2023/11/24:レクチャー「(追記)RateLimitError について」を追加

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Willkommen zum ChatGPT Meisterkurs! Dieser Kurs bietet eine umfassende Anleitung für ChatGPT – eine aufregende Technologie, die menschenähnliche Konversationen ermöglicht. Egal, ob du neu in der Welt von ChatGPT bist oder bereits Erfahrung hast, dieser Kurs führt dich vom Anfänger zum Profi.


  • Einführung in ChatGPT und seine Bedeutung in der Konversationstechnologie.

  • Schritt-für-Schritt-Anleitung zur Nutzung von ChatGPT für Anfänger und Fortgeschrittene.

  • Erstellen interaktiver und ansprechender Dialoge mit ChatGPT.

  • Generierung kreativer Geschichten mithilfe von ChatGPT.

  • Beantwortung komplexer Fragen mit Hilfe von ChatGPT.

  • Bewährte Strategien und Best Practices für die effiziente Nutzung von ChatGPT.

  • Anwendung von ChatGPT in Marketing und Content-Erstellung.

  • Erkundung der vielfältigen Möglichkeiten von ChatGPT für beeindruckende Ergebnisse.

  • Erleichterung der täglichen Arbeit als Privatperson oder Unternehmen durch KI-gestützte Konversationen.

  • Abschluss des Kurses als Experte in der KI-basierten Kommunikation mit ChatGPT.

Alles was ich dir in diesem Kurs zeige, ist persönlich von mir getestet.

Ich kann dir deshalb mit bestem Gewissen sagen, dass es sich lohnt diesen Kurs zu schauen, um ein Profi in der Anwendung mit ChatGPT werden. Die richtige Anwendung von ChatGPT wird die Effektivität in deinem privaten und beruflichen Leben verändern.


Am Ende dieses Kurses wirst du ein professionelles Verständnis von ChatGPT haben. Du wirst in der Lage sein hoch-qualitativen Content zu erzeugen, um das maximale Potenzial von ChatGPT auszunutzen.

Also warum warten? Schreibe dich noch heute in den ChatGPT Meisterkurs ein und fange an künstliche Intelligenz für dich zu nutzen!

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Willkommen zum ChatGPT Meisterkurs! Dieser Kurs bietet eine umfassende Anleitung für ChatGPT – eine aufregende Technologie, die menschenähnliche Konversationen ermöglicht. Egal, ob du neu in der Welt von ChatGPT bist oder bereits Erfahrung hast, dieser Kurs führt dich vom Anfänger zum Profi.


  • Einführung in ChatGPT und seine Bedeutung in der Konversationstechnologie.

  • Schritt-für-Schritt-Anleitung zur Nutzung von ChatGPT für Anfänger und Fortgeschrittene.

  • Erstellen interaktiver und ansprechender Dialoge mit ChatGPT.

  • Generierung kreativer Geschichten mithilfe von ChatGPT.

  • Beantwortung komplexer Fragen mit Hilfe von ChatGPT.

  • Bewährte Strategien und Best Practices für die effiziente Nutzung von ChatGPT.

  • Anwendung von ChatGPT in Marketing und Content-Erstellung.

  • Erkundung der vielfältigen Möglichkeiten von ChatGPT für beeindruckende Ergebnisse.

  • Erleichterung der täglichen Arbeit als Privatperson oder Unternehmen durch KI-gestützte Konversationen.

  • Abschluss des Kurses als Experte in der KI-basierten Kommunikation mit ChatGPT.

Alles was ich dir in diesem Kurs zeige, ist persönlich von mir getestet.

Ich kann dir deshalb mit bestem Gewissen sagen, dass es sich lohnt diesen Kurs zu schauen, um ein Profi in der Anwendung mit ChatGPT werden. Die richtige Anwendung von ChatGPT wird die Effektivität in deinem privaten und beruflichen Leben verändern.


Am Ende dieses Kurses wirst du ein professionelles Verständnis von ChatGPT haben. Du wirst in der Lage sein hoch-qualitativen Content zu erzeugen, um das maximale Potenzial von ChatGPT auszunutzen.

Also warum warten? Schreibe dich noch heute in den ChatGPT Meisterkurs ein und fange an künstliche Intelligenz für dich zu nutzen!